A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

抄録

We present an integrated probabilistic model for Japanese syntactic and case structure analysis. Syntactic and case structures are simultaneously analyzed on the basis of wide-coverage case frames that are constructed from a huge raw corpus in an unsupervised manner. This model selects the syntactic and case structures that have the highest generative probability. We evaluate both syntactic structure and case structure. In particular, the experimental results for syntactic analysis on web sentences show that the proposed model significantly outperforms the known syntactic analyzers.